Data Engineer, Video Platform - USDS
Seattle, Washington, United States
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In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
About the team
TikTok video system is a world-leading video platform that provides multimedia storage, delivery, transcoding services. As part of the USDS, the Video Platform team is responsible for building the next generation video processing platform which provides excellent experiences for billions of users around the world.
About the role:
As a Data Engineer, you will be instrumental in shaping strategic decisions within the TikTok video platform. This role emphasizes building, optimizing, and maintaining robust data processing architectures that support new data and ETL pipelines. Your expertise will ensure that data flows reliably and accurately across various systems, empowering stakeholders with high-quality, actionable insights that impact quality of service, quality of experience and cost optimizations.
Responsibilities
- Craft optimal end to end data processing architecture and systems for new data and ETL pipelines
- Design, build, and maintain efficient and reliable data pipelines to move and transform big data
- Implement and monitor quality control measures to ensure data accuracy, completeness, and consistency
- Drive internal process improvements and automate manual processes for data quality and service level agreement (SLA) management
- Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis.
- Work closely with data engineering and various vertical teams within the Video platform and cross-functional teams within TikTok USDS
About the team
TikTok video system is a world-leading video platform that provides multimedia storage, delivery, transcoding services. As part of the USDS, the Video Platform team is responsible for building the next generation video processing platform which provides excellent experiences for billions of users around the world.
About the role:
As a Data Engineer, you will be instrumental in shaping strategic decisions within the TikTok video platform. This role emphasizes building, optimizing, and maintaining robust data processing architectures that support new data and ETL pipelines. Your expertise will ensure that data flows reliably and accurately across various systems, empowering stakeholders with high-quality, actionable insights that impact quality of service, quality of experience and cost optimizations.
Responsibilities
- Craft optimal end to end data processing architecture and systems for new data and ETL pipelines
- Design, build, and maintain efficient and reliable data pipelines to move and transform big data
- Implement and monitor quality control measures to ensure data accuracy, completeness, and consistency
- Drive internal process improvements and automate manual processes for data quality and service level agreement (SLA) management
- Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis.
- Work closely with data engineering and various vertical teams within the Video platform and cross-functional teams within TikTok USDS
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Architecture Big Data Data management Data pipelines Data quality Engineering ETL Pipelines
Region:
North America
Country:
United States
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